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Record W2911848420 · doi:10.1177/0300985819827968

A Forensic Pathology Investigation of Dismembered Domestic Cats: Coyotes or Cults?

2019· article· en· W2911848420 on OpenAlexaffabout
P. N. Nation, Colleen Cassady St. Clair

Bibliographic record

VenueVeterinary Pathology · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsCATSCanisCarnivoreFelis catusPredationElectrocutionWildlifeVeterinary medicineForensic pathologyMedicinePathologyBiologyEcologyAutopsyMedical emergency

Abstract

fetched live from OpenAlex

Dismembered cats ( Felis catus) have been found in North American schoolyards, parks, walkways, or lawns and sometimes result in local media attention. When a member of the public encounters these cats, they commonly report finding either the cranial or caudal half of a cat in a prominent location. Such findings cause public consternation and pose difficulties to investigators in identifying whether animal abuse has occurred and whether to concentrate resources on the investigation. This report describes necropsy results from 53 cats involved in such instances in the cities of Edmonton and St. Albert, Canada, from 2007 to 2016. We evaluated these results in relation to 2 hypotheses: that the dismembered cats were the result of human activity, or predation and scavenging by coyotes ( Canis latrans). The main postmortem features were canine tooth wounds in the neck accompanied by tearing of the subcutaneous structures, skin avulsion, broken claws, and removal of internal organs with the colon and intestine attached to and trailing from the carcass. Based on the nature of the lesions, along with other circumstances of the deaths of the cats in this study, we concluded that these dismembered cat remains resulted from coyote predation on living cats and scavenging of the bodies of cats that died of other causes. We offer additional information to assist veterinarians, veterinary pathologists, and civic officials in identifying the probable cause of death for cat carcasses provided by members of the public.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.276
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2019
Admission routes2
Has abstractyes

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